Educational Requirements

Bachelor of Engineering, BTech, BSc, BBA, MBA, MTech, MSc

Service Line

Data Analytics Unit

Responsibilities
Develop and deploy AI/ML applications using Google ADK and Python.
Build, track, and manage ML lifecycle workflows using MLflow.
Deploy scalable services on GCP Cloud Run.
Implement monitoring, logging, and observability using GCP Logging.
Automate infrastructure provisioning using Terraform.
Design and manage CI/CD pipelines using GitHub Actions.
Collaborate with cross-functional teams to deliver secure and scalable AI solutions.

Additional Responsibilities
Experience: 5 to 8 Years of experience
Location: PAN India.

Technical and Skilled Requirements
Strong hands-on experience with Google ADK and Python.
Expertise in MLflow and MLOps practices.
Experience with GCP Cloud Run and GCP Logging.
Proficiency in Terraform for Infrastructure as Code (IaC).
Solid experience with GitHub Actions and CI/CD automation.
Valuable understanding of cloud-native architectures and AI/ML deployment.

Preferred Skills
Technology->AI-Generative AI->Generative AI for Data Analytics

📌 Genai Platform Engineer Bengaluru (India)
🏢 Infosys
📍 India